2006—2019年山西省酸雨变化特征分析

doi:10.3969/j.issn.1673-503X.2021.04.019

Abstract

Abstract:

Using the acid rain observation data from five stations at Wutai Mountain, Datong, Taiyuan, Changzhi, and Houma in Shanxi province from 2006 to 2019, the changes and spatial distribution characteristics of the number and frequency of acid rain, precipitation pH, conductivity K value on different time scales in Shanxi province were analyzed. The change characteristics of acid rain frequency with different acidity and rainfall levels were revealed. The results showed that the number and frequency of acid rain in Shanxi province from 2006 to 2019 show a downward trend. The annual average pH value ranges from 5.43 to 6.49, and the annual average conductivity K value ranges from 73.4 μs·cm^-1 to 120 μs·cm^-1. Among four seasons, the average pH is minimum in autumn, which is 5.70, and the highest in spring, which is 6.11. The conductivity K is higher in spring. Compared with each month, the pH value of acid rain is lowest in September, which is 5.58, and the highest in April, which is 6.20. The monthly average acid rain frequency is negatively correlated with the pH value of precipitation. The correlation coefficient R is 0.96. Compared with each station, the annual average precipitation pH and the conductivity K value in Taiyuan are significantly higher than in other cities. The acid rain pH value is Taiyuan (6.90) > Changzhi (5.95) > Datong (5.71) > Houma (5.57) > Wutai Mountain (5.55). The frequency of acid rain in different grades of precipitation varies greatly. The frequency of acid rain is the largest when it is light rain (1.0-10.0 mm). The frequency of strong acid rain and weak acid rain is 54.9% and 67.0%, respectively. When the precipitation exceeds 10.0 mm, the frequency of strong and weak acid rain decreases with the increase of precipitation.

Key words: pH value, Conductivity, Frequency of acid rain

CLC Number:

X517

Ya-jun LI. Analysis on changing trend characteristics of acid rain in Shanxi province from 2006 to 2019[J]. Journal of Meteorology and Environment, 2021, 37(4): 134-138.

Figures/Tables 8

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References 20

1	中国气象局. 酸雨观测业务规范[M]. 北京: 气象出版社, 2005.
2	蔡朋程. 浅析中国的酸雨分布现状及其成因[J]. 科技资讯, 2018, 16 (15): 127- 128.
3	韩照全, 毛佳, 贾昕远, 等. 近11a南京市酸雨变化及其成因分析[J]. 气象科学, 2019, 39 (2): 256- 263.
4	徐梅, 祝青林, 王丽娜, 等. 京津地区酸雨变化特征及趋势分析[J]. 气象, 2009, 35 (11): 78- 83. doi: 10.7519/j.issn.1000-0526.2009.11.010
5	蒲维维, 张小玲, 徐敬, 等. 北京地区酸雨特征及影响因素[J]. 应用气象学报, 2010, 21 (4): 464- 472. doi: 10.3969/j.issn.1001-7313.2010.04.010
6	周贺玲, 李丽平, 曹跟华, 等. 石家庄市酸雨污染现状研究[J]. 气象与环境学报, 2009, 25 (4): 27- 30. doi: 10.3969/j.issn.1673-503X.2009.04.006
7	张良玉, 魏丽欣, 赵春雷, 等. 2012-2017年京津冀区域酸雨变化特征[J]. 气象与环境学报, 2019, 35 (4): 47- 54. doi: 10.3969/j.issn.1673-503X.2019.04.007
8	洪也, 董德文, 马雁军, 等. 2004-2008年辽宁酸雨时空分布特征研究[J]. 气象与环境学报, 2009, 25 (2): 28- 32. doi: 10.3969/j.issn.1673-503X.2009.02.005
9	王研, 曹炳志, 金永民. 抚顺市区酸雨分布特征研究[J]. 气象与环境学报, 2007, 23 (5): 38- 41.
10	何军, 徐渝. 重庆市渝中区20年酸雨污染变化趋势及成因分析研究[J]. 环境科学与管理, 2017, 42 (12): 95- 98.
11	汤洁, 徐晓斌, 巴金, 等. 1992-2006年中国降水酸度的变化趋势[J]. 科学通报, 2010, 55 (8): 705- 712.
12	李亚军, 吕红玉, 初桂华, 等. 山西省酸雨变化趋势特征分析[J]. 环境科学与技术, 2014, 37 (S1): 67- 71, 120.
13	中国气象局监测网络司. 气象仪器和观测方法指南(6版)[M]. 北京: 气象出版社, 2005: 9
14	孟伟. 大气主要污染源清单调查与源解析的研究——以山西源为例[D]. 南京: 南京信息工程大学, 2006.
15	赵晓莉, 闫军, 陈中钰, 等. 2006-2013年四川酸雨变化特征分析[J]. 气象与环境科学, 2015, 38 (2): 54- 59.
16	张明明, 杨军, 黄志勇, 等. 1993-2004年华东部分地区酸雨的时空分布特征及其与气象条件的关系[J]. 南京信息工程大学学报: 自然科学版, 2013, 5 (2): 120- 126.
17	张红安, 汤洁, 于晓岚, 等. 侯马市酸雨长期变化趋势分析[J]. 环境科学学报, 2010, 30 (5): 1069- 1078.
18	智红梅. 焦化工业与环境保护[J]. 科技情报开发与经济, 2005, 15 (24): 119- 121.
19	乔树峰, 胡园桃, 刘长青. 炼焦生产过程恶臭污染与治理措施[J]. 能源环境保护, 2005, 19 (6): 44- 46.
20	吕红玉, 余东华, 李文福, 等. 三江平原佳木斯酸雨形成及其影响因素分析[J]. 环境科学与技术, 2013, 36 (3): 37- 41.

站名	经度	纬度
侯马站	111°22′E	35°39′N
太原站	112°35′E	37°37′N
五台山站	113°31′E	38°57′N
大同站	113°25′E	40°05′N
长治站	113°04′E	36°03′N

要素	春季	夏季	秋季	冬季
季平均pH值	6.11	5.94	5.70	5.88
pH值标准偏差	1.00	1.01	1.10	1.07
电导率K值/(μs·cm^-1)	110.6	87.8	86.8	102.6
K值标准偏差/(μs·cm^-1)	104.6	73.1	78.4	84.0
降水次数/d	830	1756	1035	303
酸雨次数/d	234	589	492	115
酸雨频次/(%)	28.2	33.5	47.5	38.0
强酸雨频次/(%)	6.3	9.1	15.2	6.6
弱酸雨频次	21.9	24.5	32.4	31.4

站点	频率/(%)
站点	样本数	强酸雨	弱酸雨	非酸雨
五台山	1040	11.9	31.7	56.3
侯马	734	20.0	30.1	48.5
大同	701	0.4	37.5	62.1
长治	808	9.9	21.2	68.9
太原	651	5.2	8.8	86.0
平均	787	9.5	25.9	64.4

[1]	Yun-ling MIAO,Jun ZHANG,Yu-ping ZHENG,Meng-jiao CHEN,Yun-hui ZHANG. Variation characteristics of acid rain and its relationship with meteorological factors in Urumqi [J]. Journal of Meteorology and Environment, 2020, 36(5): 62-68.
[2]	LI Qian, YANG Xu, MA Liang-chen, ZHANG Jun-ru, SUN Ke-min, XING Li-yuan. Characteristics and impact factors of acid rain in Changchun [J]. Journal of Meteorology and Environment, 2017, 33(4): 48-55.
[3]	CHEN Bin-bin, WANG Hong, ZHENG Qiu-ping, YANG Kai. Characteristics and causes of regional acid rain in Fujian province [J]. Journal of Meteorology and Environment, 2016, 32(4): 70-76.
[4]	YU Wen-ge, LIANG Tie-jun, SUN Ying, SONG Li-li, BAI Hua, ZHAO Ting-ting. Characteristics of acid rain and its impact factors in Dandong [J]. Journal of Meteorology and Environment, 2016, 32(4): 77-82.
[5]	YANG Yun-ling，WANG Cong-mei. Characteristics of acid rain and its influencing factors from 2006 to 2010 in Nangong, Hebei province [J]. Journal of Meteorology and Environment, 2012, 28(4): 79-83.
[6]	WU Ke. Acid rain characteristics from 2007 to 2008 in Kunshan, Jiangsu province [J]. Journal of Meteorology and Environment, 2010, 26(1): 36-39.
[7]	SONG Bai-chun LI Bin XU Chuan-kai. Characteristics of acid rain and its forming reason from 2003 to 2007 in Rizhao, Shandong province [J]. Journal of Meteorology and Environment, 2008, 24(6): 49-52.

Analysis on changing trend characteristics of acid rain in Shanxi province from 2006 to 2019

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